octave-a4.pdf.tar

SSB Matlab/Simulink simulation Module

模拟退火算法的MATLAB范例程序！对初步了解的初学者有不错的帮助！(Simulated annealing algorithm MATLAB example program! Preliminary understanding of the beginners have a good help!)

matlab白黑度测试代码，，输出时间响应方程(White blackness matlab test code, the output time response equation)

基于神经—模糊网络的光伏阵列MPPT控制研究(Research on pv array MPPT control based on neural - fuzzy network)

总结的Matlab常用函数，很有用的终极版笔记，可以打印出来，方便查找和学习。(The functions of Matlab are summarized.This note can be used to find the function you need quickly. )

matlab直流位置控制的仿真实例,含有速度控制环和转矩控制环(DC position control matlab simulation example, contains a speed control loop and torque control loop)

说明：  光伏发电模型,能实现光伏最大功率点跟踪,可以跑出仿真(Photovoltaic power generation model can realize maximum power point tracking of photovoltaic)

THESE ARE THE POWER ELECTRONIC SIMULINK BLOCKS

采用 Welch法在matlab中进行功率谱密度计算(Welch method using power spectral density calculation in matlab)

交流位置伺服系统因其存在参数时变、负载扰动以及电机的非线性等缺点， 很难为其建立准确的模型. 模糊（ fuzzy）控制具有无需建立被控对象的数学模型、鲁棒性好等 优点，但稳态精度差. 将模糊控制和PID 控制相结合，设计了Fuzzy-PID 双模控制器. 在论域内 用不同的控制方式分段实现控制，这样就综合了模糊控制和PID 控制的优点，克服了各自的缺 点. 该控制器结构简单、易于实现. 在半闭环交流位置伺服系统上所做的实验表明，采用Fuzzy- PID 双模控制器与采用经典PID 控制器相比，阶跃响应的调整时间减少了33. 7 ，并且无超 调，轨迹跟踪误差减小了47. 2 .(AC servo system because of the presence of parameter variations, load disturbances and non-linear motors and other shortcomings, it is difficult to establish accurate models for fuzzy (fuzzy) control without having to build a mathematical model of controlled object, robustness and good However, steady-state accuracy is poor. fuzzy control and PID control are combined to design a dual-mode Fuzzy-PID controller in the sub-region to achieve control on the different control methods, so that a combination of fuzzy control and PID control advantages to overcome their disadvantages. simply the controller structure, easy to implement. experiments on semi-closed loop AC servo system did show that the Fuzzy-PID controller is compared with the classic dual-mode PID controller, step response The adjustment time is reduced by 33.7 , and no overshoot, tracking error is reduced 47.2 .)